Full-Time
Senior AI/ML Applications Architect
Posted on 5/9/2026
GE Vernova
1,001-5,000 employees
Portfolio of energy businesses delivering electricity
No salary listed
Markham, ON, Canada
In Person
 Software Engineering (1) |
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- Minimum of a Bachelor's degree in Computer Science, Electrical Engineering, Data Science or related technical field.
- Minimum of 7 years of hands-on experience within software engineering, AI/ML development and/or architectural roles.
- Design and architect scalable AI/ML solutions, including generative AI applications, tailored to grid automation and digitalization technologies as well as business efficiency. Ensure optimal performance of these solutions across edge and cloud deployment environments.
- Establish architectural standards, best practices and technical guidelines for AI/ML development across the CTO organization in collaboration with GEV AI/ML partners.
- Build a strong technical foundation with architecture built on modular/microservices, cloud/edge, API 1st, privacy by design philosophies; infrastructure concepts of containerization, orchestration, auto-scale capabilities (compute, storage, network) and infra-as-code; development concepts of automation (CI/CD, data and MLOps pipelines), code assist and sandboxes for collaboration + experimentation.
- Design and deploy on GE GridNode/edge platforms, using container and microservices principles and best practices. Develop and implement strategies for optimizing performance of models in production.
- Collaborate with cross-functional teams to integrate AI/ML capabilities into existing platforms and develop new intelligent business efficiency and product line solutions.
- Stay current with state-of-the-art developments in AI/ML, generative AI and energy systems technology through continuous monitoring of research and industry trends.
- Evaluate and recommend emerging technologies and methodologies (AIML tools, platforms, vendor solutions) for their potential application to grid automation challenges and business opportunities; design, execute and demo proof-of-concepts (PoCs) to validate new AI/ML approaches and assess their feasibility for energy system applications.
- Proven expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, etc.) and generative AI technologies (LLMs, SLMs, diffusion models, GANs).
- Proven experience in applying AI/ML frameworks/workflows, AI/MLOps and CI/CD using cloud-native and on-prem development and deployment in operational technology/industrial automation environments.
- Experience developing and implementing ML models using cloud MLOps pipelines such as AWS Sagemaker, Azure ML, Google VertexAI, Dataiku Cloud or equivalent.
- Hands-on professional experience in developing and testing AI/ML algorithms and demonstrated professional experience with grid/physics models in power system simulation tools, MATLAB/PSCAD; as well as power system analysis SW such as PSS/E, Digsilent or equivalent.
- Experience with DevOps, data pipelines, Azure ML registry, deployment methods (Docker, K8s, etc.).
- Proven experience designing solutions that include the full AI/ML project lifecycle: data acquisition (real-time/streaming, batch and response/request), data quality assurance + engineering, model selection and evaluation, tuning, testing, deployment, maintenance and evolution.
- Strong background in edge computing, IoT deployments and cloud platforms (AWS, Azure, GCP).
- Expertise of GraphDB, SQL/NoSQL, MS Access databases.
- Proficiency in programming languages including Python, C# or C++ as well as scientific programming + simulation tools such as MATLAB or R.
- Experience with time-series analysis, signal processing, load forecasting and predictive modeling relevant to energy systems and grid operations.
- Proven track record of successfully delivering complex AI/ML projects from conception to deployment.
- Track record of applying research insights to solve real-world business problems and deliver commercial solutions; ability to balance innovation with practical implementation constraints and business requirements.
- Understanding of industrial IoT, edge computing requirements and real-time data processing in critical infrastructure environments.
GE Vernova is the umbrella for GE’s energy businesses, including Power, Renewable Energy, and Digital, along with Energy Consulting, Energy Financial Services, Grid Solutions, Nuclear Energy, and LM Wind Power. It contributes to about one-third of the world’s electricity and focuses on making energy more reliable, affordable, and sustainable. The company combines hardware, software, services, and financing to deliver end-to-end energy solutions—from gas turbines, wind turbines, and nuclear systems to digital tools and grid infrastructure, supported by consulting and financing. What sets GE Vernova apart is its one-stop portfolio that covers the full energy value chain at a global scale, integrating equipment, software, services, and finance to help customers improve efficiency and decarbonize. Its goal is to speed the transition to reliable, affordable, and sustainable energy for customers around the world.
Company Size
1,001-5,000
Company Stage
N/A
Total Funding
N/A
Headquarters
Cambridge, Massachusetts
Founded
2022
Simplify's Take
What believers are saying
- Data centre orders drive 20% of 100 GW gas pipeline with pricing 10-20 bps higher.
- Global electricity supercycle from AI, EVs, and reshoring targets 50% revenue growth by 2028.
- European expansion via Italian manufacturing and 100-MW wind contracts reduces US market dependence.
What critics are saying
- Prolec integration failures erode $5B transformer backlog margins within 12-18 months.
- BWRX-300 NRC regulatory delays push US deployments beyond 2030, stranding R&D investments.
- Chinese competitors undercut onshore wind prices 25%, capturing 20% European and Asian share.
What makes GE Vernova unique
- Integrated portfolio spans Power, Wind, and Electrification with $163B backlog and 2x book-to-bill ratio.
- Prolec GE acquisition adds $5B transformer backlog, accelerating $200B target to 2027.
- BWRX-300 small modular reactor partnership with Hitachi under $40B US-Japan nuclear plan.
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Health Insurance
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401(k) Retirement Plan
401(k) Company Match
Paid Vacation
Paid Parental Leave
Mental Health Support
Relocation Assistance
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Company News
GE Vernova has secured an additional $6 million in state funding for its $96 million Advanced Research Center on Balltown Road in Niskayuna, New York. The grant, awarded through the FAST NY programme, will fund water supply, road and stormwater management upgrades at the campus, offsetting roughly half of the $12 million in required infrastructure improvements. The company previously received $9.6 million in state tax credits linked to plans for creating 75 new jobs at the research centre, along with low-cost hydropower allocation. The site, separate from GE Vernova's existing River Road labs, will house energy technology research including a direct air capture carbon system currently under testing. GE Vernova earned nearly $5 billion in 2025 on $38 billion in revenue, with a market value of $242 billion.
ThinkLabs has raised $28 million USD ($39 million CAD) in a Series A round led by Energy Impact Partners to help power grids manage surging demand from AI data centres. Nvidia's venture fund NVentures and Edison International participated, alongside returning investors including GE Vernova. The Canadian-led, New York-based startup provides physics-informed AI software that creates digital twins of power grids, simulating scenarios to help operators maintain reliability and reduce outages. The platform reduces what would typically be a six-month, quarter-million-dollar study to under a day's analysis. Founded by former Toronto Hydro smart-grid department head Josh Wong, ThinkLabs spun out of GE Vernova in early 2024 with $6.8 million CAD in seed funding. The company will use the new capital to mature its product and expand features whilst focusing on the North American market.
President Donald Trump and Prime Minister Sanae Takaichi have unveiled a US-Japan energy investment plan potentially worth $40 billion, centring on small modular nuclear reactors. GE Vernova and Hitachi will develop BWRX-300 reactors in Tennessee and Alabama, whilst Japan will invest up to $33 billion in natural gas plants in Pennsylvania and Texas. The initiative forms part of a broader $550 billion bilateral investment fund agreed under a recent trade pact. It aims to address rising electricity demand from data centres and artificial intelligence infrastructure. However, most SMR designs await regulatory approval and none have been deployed on US grids. The agreement also covers critical minerals and industrial supply chains, with Japanese firms contributing components and participating in rare-earth projects across Indiana, Arizona and North Carolina.
GE Vernova shares have risen 14.8% over the past three months, outperforming its Zacks Alternate Energy – Other industry's 4.1% growth. The company is benefiting from surging electricity demand driven by AI data centre expansion, creating strong opportunities for its turbines and grid equipment. GE Vernova is improving profitability in its wind segment through cost controls and portfolio optimisation, whilst its gas power and power services businesses continue strong performance. In March 2026, the company secured a contract for a 100-megawatt wind farm in Italy, supplying 17 turbines plus maintenance support. The company is expanding its Italian manufacturing facility to boost production of transformer components and advancing its BWRX-300 small modular reactor project in Poland, strengthening its position in the nuclear power market.
BlackRock is advising investors to focus on AI energy stocks rather than big tech companies in 2026, as AI data centres drive a surge in power demand. Deloitte anticipates a 30-fold increase in US AI data centre power consumption between 2024 and 2035. Three promising investments include Bloom Energy, which provides hydrogen fuel cell solutions for onsite electricity generation. The company reported $778 million in revenue last quarter, up 36% year over year, with analysts expecting accelerated growth. Constellation Energy, America's leading nuclear power provider, is restarting a Three Mile Island reactor to supply Microsoft's AI data centre. The company generates over two-thirds of its electricity through nuclear power. GE Vernova, General Electric's power production spinoff, reported orders up 34% to $59.3 billion, with a $150 billion backlog.